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dc.contributor.advisorBrorsen, B. Wade
dc.contributor.authorHu, Zhepeng
dc.date.accessioned2015-06-17T20:06:21Z
dc.date.available2015-06-17T20:06:21Z
dc.date.issued2014-07-01
dc.identifier.urihttps://hdl.handle.net/11244/14893
dc.description.abstractUrea fertilizer is widely used in the U.S., however, most urea is not openly traded and formula pricing is common. This study measures the efficiency of spatial urea prices in the New Orleans-Arkansas River urea market and the New Orleans-Middle East urea market. The vector error correction model (VECM) and Baulch's (1997) parity bound model (PBM) are used. Nonlinearity testing finds no threshold effects. Thus, we do not include threshold values in our vector error correction models. Parameter estimates of vector error correction models show that violations of spatial price equilibrium are corrected faster in the Arkansas River-New Orleans urea market than the New Orleans-Middle East urea market. In the new Orleans-Middle East urea market, only New Orleans price makes long term adjustment to deviations from spatial equilibrium. Results from the parity bound model show that in the New Orleans-Middle East urea market, price spreads are greater than transportation costs about 23% of the time. So, the New Orleans-Middle East market is a moderately inefficient market rather than a perfectly efficient market.
dc.formatapplication/pdf
dc.languageen_US
dc.publisherOklahoma State University
dc.rightsCopyright is held by the author who has granted the Oklahoma State University Library the non-exclusive right to share this material in its institutional repository. Contact Digital Library Services at lib-dls@okstate.edu or 405-744-9161 for the permission policy on the use, reproduction or distribution of this material.
dc.titleSpatial Price Efficiency in the Urea Market
dc.typetext
dc.contributor.committeeMemberAdam, Brian D.
dc.contributor.committeeMemberKenkel, Philip
osu.filenameHu_okstate_0664M_13441.pdf
osu.accesstypeOpen Access
dc.description.departmentAgricultural Economics
dc.type.genreThesis
dc.subject.keywordspbm
dc.subject.keywordsspatial price efficiency
dc.subject.keywordsurea market
dc.subject.keywordsvecm


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